Overview

Dataset statistics

Number of variables29
Number of observations92
Missing cells89
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.0 KiB
Average record size in memory233.4 B

Variable types

Numeric9
Categorical20

Alerts

airdate has constant value "2020-12-22" Constant
url has a high cardinality: 92 distinct values High cardinality
name has a high cardinality: 85 distinct values High cardinality
_embedded_show_url has a high cardinality: 58 distinct values High cardinality
_embedded_show_name has a high cardinality: 58 distinct values High cardinality
_embedded_show_officialSite has a high cardinality: 52 distinct values High cardinality
_embedded_show_summary has a high cardinality: 53 distinct values High cardinality
_links_self_href has a high cardinality: 92 distinct values High cardinality
season is highly correlated with _embedded_show_updatedHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_updated is highly correlated with seasonHigh correlation
season is highly correlated with number and 2 other fieldsHigh correlation
number is highly correlated with season and 2 other fieldsHigh correlation
runtime is highly correlated with season and 3 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with season and 3 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
season is highly correlated with _embedded_show_updatedHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_updated is highly correlated with seasonHigh correlation
_embedded_show_officialSite is highly correlated with _embedded_show_summary and 16 other fieldsHigh correlation
summary is highly correlated with url and 7 other fieldsHigh correlation
_embedded_show_summary is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
_embedded_show_type is highly correlated with _embedded_show_officialSite and 8 other fieldsHigh correlation
_embedded_show_status is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
url is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
image is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
_embedded_show_ended is highly correlated with _embedded_show_officialSite and 12 other fieldsHigh correlation
_embedded_show_name is highly correlated with _embedded_show_officialSite and 16 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with _embedded_show_officialSite and 12 other fieldsHigh correlation
name is highly correlated with url and 3 other fieldsHigh correlation
airdate is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
airtime is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_links_self_href is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
_embedded_show_genres is highly correlated with _embedded_show_officialSite and 13 other fieldsHigh correlation
type is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_embedded_show_url is highly correlated with _embedded_show_officialSite and 16 other fieldsHigh correlation
_embedded_show_language is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
airstamp is highly correlated with _embedded_show_officialSite and 13 other fieldsHigh correlation
id is highly correlated with url and 18 other fieldsHigh correlation
url is highly correlated with id and 26 other fieldsHigh correlation
name is highly correlated with id and 22 other fieldsHigh correlation
season is highly correlated with url and 14 other fieldsHigh correlation
number is highly correlated with url and 14 other fieldsHigh correlation
type is highly correlated with url and 11 other fieldsHigh correlation
airtime is highly correlated with id and 21 other fieldsHigh correlation
airstamp is highly correlated with id and 21 other fieldsHigh correlation
runtime is highly correlated with id and 20 other fieldsHigh correlation
image is highly correlated with id and 25 other fieldsHigh correlation
summary is highly correlated with url and 19 other fieldsHigh correlation
_embedded_show_id is highly correlated with id and 20 other fieldsHigh correlation
_embedded_show_url is highly correlated with id and 26 other fieldsHigh correlation
_embedded_show_name is highly correlated with id and 26 other fieldsHigh correlation
_embedded_show_type is highly correlated with url and 19 other fieldsHigh correlation
_embedded_show_language is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_genres is highly correlated with id and 24 other fieldsHigh correlation
_embedded_show_status is highly correlated with url and 16 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with id and 24 other fieldsHigh correlation
_embedded_show_ended is highly correlated with url and 16 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with id and 26 other fieldsHigh correlation
_embedded_show_weight is highly correlated with id and 15 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with url and 11 other fieldsHigh correlation
_embedded_show_summary is highly correlated with id and 25 other fieldsHigh correlation
_embedded_show_updated is highly correlated with id and 19 other fieldsHigh correlation
_links_self_href is highly correlated with id and 26 other fieldsHigh correlation
number has 1 (1.1%) missing values Missing
runtime has 3 (3.3%) missing values Missing
image has 68 (73.9%) missing values Missing
_embedded_show_runtime has 15 (16.3%) missing values Missing
_embedded_show_averageRuntime has 2 (2.2%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
image is uniformly distributed Uniform
_links_self_href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links_self_href has unique values Unique
_embedded_show_weight has 1 (1.1%) zeros Zeros

Reproduction

Analysis started2022-05-10 02:18:37.895489
Analysis finished2022-05-10 02:19:09.339106
Duration31.44 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022418.065
Minimum1960499
Maximum2318110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size864.0 B
2022-05-09T21:19:09.420272image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1960499
5-th percentile1976044.55
Q11987350.25
median1991355.5
Q32009994.5
95-th percentile2238013
Maximum2318110
Range357611
Interquartile range (IQR)22644.25

Descriptive statistics

Standard deviation81230.74891
Coefficient of variation (CV)0.04016516185
Kurtosis6.196028183
Mean2022418.065
Median Absolute Deviation (MAD)7917.5
Skewness2.619377445
Sum186062462
Variance6598434568
MonotonicityNot monotonic
2022-05-09T21:19:09.543467image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20077501
 
1.1%
19880671
 
1.1%
19926791
 
1.1%
19926781
 
1.1%
19926771
 
1.1%
19926761
 
1.1%
19926751
 
1.1%
19926741
 
1.1%
19926731
 
1.1%
19926721
 
1.1%
Other values (82)82
89.1%
ValueCountFrequency (%)
19604991
1.1%
19645681
1.1%
19680031
1.1%
19756461
1.1%
19760441
1.1%
19760451
1.1%
19761641
1.1%
19761651
1.1%
19761661
1.1%
19773301
1.1%
ValueCountFrequency (%)
23181101
1.1%
23151171
1.1%
23110201
1.1%
22898751
1.1%
22877881
1.1%
21972881
1.1%
21761391
1.1%
21650081
1.1%
21614171
1.1%
20962991
1.1%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size864.0 B
https://www.tvmaze.com/episodes/2007750/stand-up-autsajd-1x10-filipp-voronin-499-iz-5
 
1
https://www.tvmaze.com/episodes/1988067/forever-love-1x16-episode-16
 
1
https://www.tvmaze.com/episodes/1992679/rhyme-time-town-singalongs-1x08-the-teaspoon-dance-jaimes-bridge-has-fallen-down-the-happy-hyena
 
1
https://www.tvmaze.com/episodes/1992678/rhyme-time-town-singalongs-1x07-mary-marys-mango-cake-twinkle-twinkle-little-star-itsy-bitsys-water-spout
 
1
https://www.tvmaze.com/episodes/1992677/rhyme-time-town-singalongs-1x06-cow-jig-frere-jacques-itsy-bitsys-mosaic
 
1
Other values (87)
87 

Length

Max length145
Median length117
Mean length85.79347826
Min length63

Characters and Unicode

Total characters7893
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2007750/stand-up-autsajd-1x10-filipp-voronin-499-iz-5
2nd rowhttps://www.tvmaze.com/episodes/2008030/lab-s-antonom-belaevym-2x09-gruppa-skryptonite
3rd rowhttps://www.tvmaze.com/episodes/1964568/core-sense-1x12-episode-12
4th rowhttps://www.tvmaze.com/episodes/2052511/wu-shen-zhu-zai-1x86-episode-86
5th rowhttps://www.tvmaze.com/episodes/1993656/7-days-of-romance-2x01-episode-1

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2007750/stand-up-autsajd-1x10-filipp-voronin-499-iz-51
 
1.1%
https://www.tvmaze.com/episodes/1988067/forever-love-1x16-episode-161
 
1.1%
https://www.tvmaze.com/episodes/1992679/rhyme-time-town-singalongs-1x08-the-teaspoon-dance-jaimes-bridge-has-fallen-down-the-happy-hyena1
 
1.1%
https://www.tvmaze.com/episodes/1992678/rhyme-time-town-singalongs-1x07-mary-marys-mango-cake-twinkle-twinkle-little-star-itsy-bitsys-water-spout1
 
1.1%
https://www.tvmaze.com/episodes/1992677/rhyme-time-town-singalongs-1x06-cow-jig-frere-jacques-itsy-bitsys-mosaic1
 
1.1%
https://www.tvmaze.com/episodes/1992676/rhyme-time-town-singalongs-1x05-jaimes-ride-and-see-hickory-dickory-dock-chuckleys-fruit-fest1
 
1.1%
https://www.tvmaze.com/episodes/1992675/rhyme-time-town-singalongs-1x04-humpty-goes-fishing-humpty-dumpty-sat-on-a-wall-humptys-snow-day1
 
1.1%
https://www.tvmaze.com/episodes/1992674/rhyme-time-town-singalongs-1x03-carnival-samba-the-itsy-bitsy-spider-shadow-puppets1
 
1.1%
https://www.tvmaze.com/episodes/1992673/rhyme-time-town-singalongs-1x02-granny-dumptys-garden-ms-macdonald-has-a-farm-jack-and-jills-boat-ride1
 
1.1%
https://www.tvmaze.com/episodes/1992672/rhyme-time-town-singalongs-1x01-see-saw-mumpty-daw-mary-mary-quite-contrary-mary-marys-hiking-trip1
 
1.1%
Other values (82)82
89.1%

Length

2022-05-09T21:19:09.679901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2007750/stand-up-autsajd-1x10-filipp-voronin-499-iz-51
 
1.1%
https://www.tvmaze.com/episodes/2071494/youths-in-the-breeze-1x24-full-time-sworn-enemy-081
 
1.1%
https://www.tvmaze.com/episodes/1964568/core-sense-1x12-episode-121
 
1.1%
https://www.tvmaze.com/episodes/2052511/wu-shen-zhu-zai-1x86-episode-861
 
1.1%
https://www.tvmaze.com/episodes/1993656/7-days-of-romance-2x01-episode-11
 
1.1%
https://www.tvmaze.com/episodes/2096299/no-turning-back-romance-1x05-51
 
1.1%
https://www.tvmaze.com/episodes/2315117/sono-koi-mousukoshi-atatamemasuka-1x06-episode-61
 
1.1%
https://www.tvmaze.com/episodes/2068349/doomsday-awakening-2x01-episode-11
 
1.1%
https://www.tvmaze.com/episodes/2068351/doomsday-awakening-2x02-episode-21
 
1.1%
https://www.tvmaze.com/episodes/2005750/legend-of-yun-qian-1x03-episode-31
 
1.1%
Other values (82)82
89.1%

Most occurring characters

ValueCountFrequency (%)
-673
 
8.5%
e635
 
8.0%
s502
 
6.4%
t481
 
6.1%
/460
 
5.8%
o422
 
5.3%
a355
 
4.5%
w347
 
4.4%
i294
 
3.7%
m292
 
3.7%
Other values (30)3432
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5407
68.5%
Decimal Number1077
 
13.6%
Other Punctuation736
 
9.3%
Dash Punctuation673
 
8.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e635
11.7%
s502
 
9.3%
t481
 
8.9%
o422
 
7.8%
a355
 
6.6%
w347
 
6.4%
i294
 
5.4%
m292
 
5.4%
p264
 
4.9%
d253
 
4.7%
Other values (16)1562
28.9%
Decimal Number
ValueCountFrequency (%)
1234
21.7%
2172
16.0%
0154
14.3%
9141
13.1%
775
 
7.0%
870
 
6.5%
667
 
6.2%
458
 
5.4%
357
 
5.3%
549
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/460
62.5%
.184
 
25.0%
:92
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-673
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5407
68.5%
Common2486
31.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e635
11.7%
s502
 
9.3%
t481
 
8.9%
o422
 
7.8%
a355
 
6.6%
w347
 
6.4%
i294
 
5.4%
m292
 
5.4%
p264
 
4.9%
d253
 
4.7%
Other values (16)1562
28.9%
Common
ValueCountFrequency (%)
-673
27.1%
/460
18.5%
1234
 
9.4%
.184
 
7.4%
2172
 
6.9%
0154
 
6.2%
9141
 
5.7%
:92
 
3.7%
775
 
3.0%
870
 
2.8%
Other values (4)231
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII7893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
-673
 
8.5%
e635
 
8.0%
s502
 
6.4%
t481
 
6.1%
/460
 
5.8%
o422
 
5.3%
a355
 
4.5%
w347
 
4.4%
i294
 
3.7%
m292
 
3.7%
Other values (30)3432
43.5%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size864.0 B
Episode 1
 
4
Episode 15
 
3
Episode 16
 
3
Филипп Воронин "4,99 из 5"
 
1
Episode 4
 
1
Other values (80)
80 

Length

Max length79
Median length64
Mean length23.25
Min length1

Characters and Unicode

Total characters2139
Distinct characters107
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)89.1%

Sample

1st rowФилипп Воронин "4,99 из 5"
2nd rowGruppa Skryptonite
3rd rowEpisode 12
4th rowEpisode 86
5th rowEpisode 1

Common Values

ValueCountFrequency (%)
Episode 14
 
4.3%
Episode 153
 
3.3%
Episode 163
 
3.3%
Филипп Воронин "4,99 из 5"1
 
1.1%
Episode 41
 
1.1%
Mary Mary's Mango Cake / Twinkle Twinkle Little Star / Itsy Bitsy's Water Spout1
 
1.1%
Cow Jig / Frère Jacques / Itsy Bitsy's Mosaic1
 
1.1%
Jaime's Ride and See / Hickory Dickory Dock / Chuckley's Fruit Fest1
 
1.1%
Humpty Goes Fishing / Humpty Dumpty Sat on a Wall / Humpty's Snow Day1
 
1.1%
Carnival Samba / The Itsy Bitsy Spider / Shadow Puppets1
 
1.1%
Other values (75)75
81.5%

Length

2022-05-09T21:19:09.805693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode29
 
7.2%
24
 
6.0%
the7
 
1.7%
15
 
1.2%
mary4
 
1.0%
and4
 
1.0%
20204
 
1.0%
you4
 
1.0%
154
 
1.0%
53
 
0.7%
Other values (268)314
78.1%

Most occurring characters

ValueCountFrequency (%)
310
 
14.5%
e155
 
7.2%
a139
 
6.5%
o114
 
5.3%
i109
 
5.1%
s102
 
4.8%
t84
 
3.9%
n75
 
3.5%
r70
 
3.3%
d67
 
3.1%
Other values (97)914
42.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1331
62.2%
Space Separator310
 
14.5%
Uppercase Letter310
 
14.5%
Decimal Number99
 
4.6%
Other Punctuation61
 
2.9%
Other Letter18
 
0.8%
Dash Punctuation6
 
0.3%
Math Symbol2
 
0.1%
Close Punctuation1
 
< 0.1%
Open Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e155
11.6%
a139
 
10.4%
o114
 
8.6%
i109
 
8.2%
s102
 
7.7%
t84
 
6.3%
n75
 
5.6%
r70
 
5.3%
d67
 
5.0%
p63
 
4.7%
Other values (29)353
26.5%
Uppercase Letter
ValueCountFrequency (%)
E37
 
11.9%
S30
 
9.7%
M26
 
8.4%
T23
 
7.4%
D20
 
6.5%
R17
 
5.5%
B16
 
5.2%
F14
 
4.5%
H14
 
4.5%
C12
 
3.9%
Other values (19)101
32.6%
Other Letter
ValueCountFrequency (%)
و3
16.7%
م2
 
11.1%
ا1
 
5.6%
ز1
 
5.6%
ی1
 
5.6%
س1
 
5.6%
گ1
 
5.6%
ر1
 
5.6%
ه1
 
5.6%
د1
 
5.6%
Other values (5)5
27.8%
Decimal Number
ValueCountFrequency (%)
223
23.2%
120
20.2%
311
11.1%
010
10.1%
49
 
9.1%
59
 
9.1%
68
 
8.1%
93
 
3.0%
83
 
3.0%
73
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/20
32.8%
'12
19.7%
.9
14.8%
,7
 
11.5%
!4
 
6.6%
?4
 
6.6%
#2
 
3.3%
"2
 
3.3%
&1
 
1.6%
Space Separator
ValueCountFrequency (%)
310
100.0%
Dash Punctuation
ValueCountFrequency (%)
-6
100.0%
Math Symbol
ValueCountFrequency (%)
×2
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1615
75.5%
Common480
 
22.4%
Cyrillic26
 
1.2%
Arabic14
 
0.7%
Han4
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e155
 
9.6%
a139
 
8.6%
o114
 
7.1%
i109
 
6.7%
s102
 
6.3%
t84
 
5.2%
n75
 
4.6%
r70
 
4.3%
d67
 
4.1%
p63
 
3.9%
Other values (42)637
39.4%
Common
ValueCountFrequency (%)
310
64.6%
223
 
4.8%
120
 
4.2%
/20
 
4.2%
'12
 
2.5%
311
 
2.3%
010
 
2.1%
.9
 
1.9%
49
 
1.9%
59
 
1.9%
Other values (14)47
 
9.8%
Cyrillic
ValueCountFrequency (%)
и5
19.2%
а2
 
7.7%
п2
 
7.7%
р2
 
7.7%
о2
 
7.7%
н2
 
7.7%
з2
 
7.7%
М1
 
3.8%
в1
 
3.8%
е1
 
3.8%
Other values (6)6
23.1%
Arabic
ValueCountFrequency (%)
و3
21.4%
م2
14.3%
ا1
 
7.1%
ز1
 
7.1%
ی1
 
7.1%
س1
 
7.1%
گ1
 
7.1%
ر1
 
7.1%
ه1
 
7.1%
د1
 
7.1%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2089
97.7%
Cyrillic26
 
1.2%
Arabic14
 
0.7%
None6
 
0.3%
CJK4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
 
14.8%
e155
 
7.4%
a139
 
6.7%
o114
 
5.5%
i109
 
5.2%
s102
 
4.9%
t84
 
4.0%
n75
 
3.6%
r70
 
3.4%
d67
 
3.2%
Other values (62)864
41.4%
Cyrillic
ValueCountFrequency (%)
и5
19.2%
а2
 
7.7%
п2
 
7.7%
р2
 
7.7%
о2
 
7.7%
н2
 
7.7%
з2
 
7.7%
М1
 
3.8%
в1
 
3.8%
е1
 
3.8%
Other values (6)6
23.1%
Arabic
ValueCountFrequency (%)
و3
21.4%
م2
14.3%
ا1
 
7.1%
ز1
 
7.1%
ی1
 
7.1%
س1
 
7.1%
گ1
 
7.1%
ر1
 
7.1%
ه1
 
7.1%
د1
 
7.1%
None
ValueCountFrequency (%)
×2
33.3%
è2
33.3%
é1
16.7%
â1
16.7%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct9
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243.576087
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size864.0 B
2022-05-09T21:19:09.927034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)1

Descriptive statistics

Standard deviation658.2374606
Coefficient of variation (CV)2.702389503
Kurtosis3.764980272
Mean243.576087
Median Absolute Deviation (MAD)0
Skewness2.383945516
Sum22409
Variance433276.5546
MonotonicityNot monotonic
2022-05-09T21:19:10.019025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
153
57.6%
218
 
19.6%
202011
 
12.0%
43
 
3.3%
33
 
3.3%
231
 
1.1%
181
 
1.1%
71
 
1.1%
311
 
1.1%
ValueCountFrequency (%)
153
57.6%
218
 
19.6%
33
 
3.3%
43
 
3.3%
71
 
1.1%
181
 
1.1%
231
 
1.1%
311
 
1.1%
202011
 
12.0%
ValueCountFrequency (%)
202011
 
12.0%
311
 
1.1%
231
 
1.1%
181
 
1.1%
71
 
1.1%
43
 
3.3%
33
 
3.3%
218
 
19.6%
153
57.6%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct36
Distinct (%)39.6%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean26.82417582
Minimum1
Maximum349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size864.0 B
2022-05-09T21:19:10.121863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.5
median10
Q323
95-th percentile78.5
Maximum349
Range348
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation58.70218497
Coefficient of variation (CV)2.188405912
Kurtosis21.23437275
Mean26.82417582
Median Absolute Deviation (MAD)6
Skewness4.532582
Sum2441
Variance3445.94652
MonotonicityNot monotonic
2022-05-09T21:19:10.216121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
17
 
7.6%
56
 
6.5%
26
 
6.5%
105
 
5.4%
35
 
5.4%
155
 
5.4%
45
 
5.4%
94
 
4.3%
164
 
4.3%
64
 
4.3%
Other values (26)40
43.5%
ValueCountFrequency (%)
17
7.6%
26
6.5%
35
5.4%
45
5.4%
56
6.5%
64
4.3%
74
4.3%
83
3.3%
94
4.3%
105
5.4%
ValueCountFrequency (%)
3491
1.1%
3141
1.1%
3131
1.1%
891
1.1%
861
1.1%
711
1.1%
661
1.1%
601
1.1%
541
1.1%
522
2.2%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size864.0 B
regular
91 
significant_special
 
1

Length

Max length19
Median length7
Mean length7.130434783
Min length7

Characters and Unicode

Total characters656
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular91
98.9%
significant_special1
 
1.1%

Length

2022-05-09T21:19:10.309976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:19:10.404793image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
regular91
98.9%
significant_special1
 
1.1%

Most occurring characters

ValueCountFrequency (%)
r182
27.7%
a93
14.2%
e92
14.0%
g92
14.0%
l92
14.0%
u91
13.9%
i4
 
0.6%
s2
 
0.3%
n2
 
0.3%
c2
 
0.3%
Other values (4)4
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter655
99.8%
Connector Punctuation1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r182
27.8%
a93
14.2%
e92
14.0%
g92
14.0%
l92
14.0%
u91
13.9%
i4
 
0.6%
s2
 
0.3%
n2
 
0.3%
c2
 
0.3%
Other values (3)3
 
0.5%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin655
99.8%
Common1
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r182
27.8%
a93
14.2%
e92
14.0%
g92
14.0%
l92
14.0%
u91
13.9%
i4
 
0.6%
s2
 
0.3%
n2
 
0.3%
c2
 
0.3%
Other values (3)3
 
0.5%
Common
ValueCountFrequency (%)
_1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r182
27.7%
a93
14.2%
e92
14.0%
g92
14.0%
l92
14.0%
u91
13.9%
i4
 
0.6%
s2
 
0.3%
n2
 
0.3%
c2
 
0.3%
Other values (4)4
 
0.6%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size864.0 B
2020-12-22
92 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters920
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-22
2nd row2020-12-22
3rd row2020-12-22
4th row2020-12-22
5th row2020-12-22

Common Values

ValueCountFrequency (%)
2020-12-2292
100.0%

Length

2022-05-09T21:19:10.487970image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:19:10.584022image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-2292
100.0%

Most occurring characters

ValueCountFrequency (%)
2460
50.0%
0184
 
20.0%
-184
 
20.0%
192
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number736
80.0%
Dash Punctuation184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2460
62.5%
0184
 
25.0%
192
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2460
50.0%
0184
 
20.0%
-184
 
20.0%
192
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2460
50.0%
0184
 
20.0%
-184
 
20.0%
192
 
10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct12
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size864.0 B
nan
67 
20:00
12 
10:00
 
2
17:00
 
2
22:00
 
2
Other values (7)

Length

Max length5
Median length3
Mean length3.543478261
Min length3

Characters and Unicode

Total characters326
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)7.6%

Sample

1st row12:00
2nd rownan
3rd row10:00
4th row10:00
5th rownan

Common Values

ValueCountFrequency (%)
nan67
72.8%
20:0012
 
13.0%
10:002
 
2.2%
17:002
 
2.2%
22:002
 
2.2%
12:001
 
1.1%
08:001
 
1.1%
06:001
 
1.1%
18:301
 
1.1%
20:451
 
1.1%
Other values (2)2
 
2.2%

Length

2022-05-09T21:19:10.653962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan67
72.8%
20:0012
 
13.0%
10:002
 
2.2%
17:002
 
2.2%
22:002
 
2.2%
12:001
 
1.1%
08:001
 
1.1%
06:001
 
1.1%
18:301
 
1.1%
20:451
 
1.1%
Other values (2)2
 
2.2%

Most occurring characters

ValueCountFrequency (%)
n134
41.1%
a67
20.6%
064
19.6%
:25
 
7.7%
219
 
5.8%
16
 
1.8%
83
 
0.9%
72
 
0.6%
32
 
0.6%
52
 
0.6%
Other values (2)2
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter201
61.7%
Decimal Number100
30.7%
Other Punctuation25
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
064
64.0%
219
 
19.0%
16
 
6.0%
83
 
3.0%
72
 
2.0%
32
 
2.0%
52
 
2.0%
61
 
1.0%
41
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
n134
66.7%
a67
33.3%
Other Punctuation
ValueCountFrequency (%)
:25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin201
61.7%
Common125
38.3%

Most frequent character per script

Common
ValueCountFrequency (%)
064
51.2%
:25
 
20.0%
219
 
15.2%
16
 
4.8%
83
 
2.4%
72
 
1.6%
32
 
1.6%
52
 
1.6%
61
 
0.8%
41
 
0.8%
Latin
ValueCountFrequency (%)
n134
66.7%
a67
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII326
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n134
41.1%
a67
20.6%
064
19.6%
:25
 
7.7%
219
 
5.8%
16
 
1.8%
83
 
0.9%
72
 
0.6%
32
 
0.6%
52
 
0.6%
Other values (2)2
 
0.6%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct19
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size864.0 B
2020-12-22T12:00:00+00:00
48 
2020-12-22T06:30:00+00:00
11 
2020-12-22T04:00:00+00:00
2020-12-22T16:00:00+00:00
 
4
2020-12-22T03:00:00+00:00
 
3
Other values (14)
20 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2300
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)9.8%

Sample

1st row2020-12-22T00:00:00+00:00
2nd row2020-12-22T00:00:00+00:00
3rd row2020-12-22T02:00:00+00:00
4th row2020-12-22T02:00:00+00:00
5th row2020-12-22T03:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-22T12:00:00+00:0048
52.2%
2020-12-22T06:30:00+00:0011
 
12.0%
2020-12-22T04:00:00+00:006
 
6.5%
2020-12-22T16:00:00+00:004
 
4.3%
2020-12-22T03:00:00+00:003
 
3.3%
2020-12-22T17:00:00+00:003
 
3.3%
2020-12-22T00:00:00+00:002
 
2.2%
2020-12-22T02:00:00+00:002
 
2.2%
2020-12-22T11:00:00+00:002
 
2.2%
2020-12-22T05:00:00+00:002
 
2.2%
Other values (9)9
 
9.8%

Length

2022-05-09T21:19:10.747650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-22t12:00:00+00:0048
52.2%
2020-12-22t06:30:00+00:0011
 
12.0%
2020-12-22t04:00:00+00:006
 
6.5%
2020-12-22t16:00:00+00:004
 
4.3%
2020-12-22t03:00:00+00:003
 
3.3%
2020-12-22t17:00:00+00:003
 
3.3%
2020-12-22t11:00:00+00:002
 
2.2%
2020-12-22t05:00:00+00:002
 
2.2%
2020-12-22t02:00:00+00:002
 
2.2%
2020-12-22t00:00:00+00:002
 
2.2%
Other values (9)9
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0933
40.6%
2512
22.3%
:276
 
12.0%
-184
 
8.0%
1157
 
6.8%
T92
 
4.0%
+92
 
4.0%
319
 
0.8%
615
 
0.7%
48
 
0.3%
Other values (4)12
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1656
72.0%
Other Punctuation276
 
12.0%
Dash Punctuation184
 
8.0%
Uppercase Letter92
 
4.0%
Math Symbol92
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0933
56.3%
2512
30.9%
1157
 
9.5%
319
 
1.1%
615
 
0.9%
48
 
0.5%
56
 
0.4%
73
 
0.2%
92
 
0.1%
81
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:276
100.0%
Dash Punctuation
ValueCountFrequency (%)
-184
100.0%
Uppercase Letter
ValueCountFrequency (%)
T92
100.0%
Math Symbol
ValueCountFrequency (%)
+92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common2208
96.0%
Latin92
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0933
42.3%
2512
23.2%
:276
 
12.5%
-184
 
8.3%
1157
 
7.1%
+92
 
4.2%
319
 
0.9%
615
 
0.7%
48
 
0.4%
56
 
0.3%
Other values (3)6
 
0.3%
Latin
ValueCountFrequency (%)
T92
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0933
40.6%
2512
22.3%
:276
 
12.0%
-184
 
8.0%
1157
 
6.8%
T92
 
4.0%
+92
 
4.0%
319
 
0.8%
615
 
0.7%
48
 
0.3%
Other values (4)12
 
0.5%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct32
Distinct (%)36.0%
Missing3
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean30
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size864.0 B
2022-05-09T21:19:10.842048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q113
median20
Q343
95-th percentile90
Maximum120
Range119
Interquartile range (IQR)30

Descriptive statistics

Standard deviation25.38700455
Coefficient of variation (CV)0.846233485
Kurtosis5.521047422
Mean30
Median Absolute Deviation (MAD)8
Skewness2.262622679
Sum2670
Variance644.5
MonotonicityNot monotonic
2022-05-09T21:19:11.031375image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4514
15.2%
2014
15.2%
1310
 
10.9%
275
 
5.4%
304
 
4.3%
154
 
4.3%
1204
 
4.3%
123
 
3.3%
182
 
2.2%
52
 
2.2%
Other values (22)27
29.3%
(Missing)3
 
3.3%
ValueCountFrequency (%)
11
 
1.1%
41
 
1.1%
52
 
2.2%
72
 
2.2%
81
 
1.1%
102
 
2.2%
111
 
1.1%
123
 
3.3%
1310
10.9%
141
 
1.1%
ValueCountFrequency (%)
1204
 
4.3%
902
 
2.2%
571
 
1.1%
4514
15.2%
441
 
1.1%
431
 
1.1%
411
 
1.1%
391
 
1.1%
321
 
1.1%
304
 
4.3%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct24
Distinct (%)100.0%
Missing68
Missing (%)73.9%
Memory size864.0 B
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726700.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726700.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724613.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724613.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/403/1009868.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/403/1009868.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724584.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724584.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/404/1012053.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/404/1012053.jpg'}
 
1
Other values (19)
19 

Length

Max length178
Median length176
Mean length176.1666667
Min length176

Characters and Unicode

Total characters4228
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737209.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737209.jpg'}
2nd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726356.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726356.jpg'}
3rd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721861.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721861.jpg'}
4th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/725656.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/725656.jpg'}
5th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/725622.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/725622.jpg'}

Common Values

ValueCountFrequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726700.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726700.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724613.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724613.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/403/1009868.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/403/1009868.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724584.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724584.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/404/1012053.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/404/1012053.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/725640.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/725640.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/298/745538.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/298/745538.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726704.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726704.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726703.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726703.jpg'}1
 
1.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726702.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726702.jpg'}1
 
1.1%
Other values (14)14
 
15.2%
(Missing)68
73.9%

Length

2022-05-09T21:19:11.160595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medium24
25.0%
original24
25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725620.jpg1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726698.jpg1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/290/726698.jpg1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726697.jpg1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/290/726697.jpg1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726696.jpg1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/290/726696.jpg1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726695.jpg1
 
1.0%
Other values (40)40
41.7%

Most occurring characters

ValueCountFrequency (%)
/336
 
7.9%
a288
 
6.8%
t264
 
6.2%
m240
 
5.7%
i240
 
5.7%
s216
 
5.1%
e192
 
4.5%
'192
 
4.5%
o168
 
4.0%
p168
 
4.0%
Other values (28)1924
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2832
67.0%
Other Punctuation792
 
18.7%
Decimal Number436
 
10.3%
Space Separator72
 
1.7%
Connector Punctuation48
 
1.1%
Open Punctuation24
 
0.6%
Close Punctuation24
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a288
 
10.2%
t264
 
9.3%
m240
 
8.5%
i240
 
8.5%
s216
 
7.6%
e192
 
6.8%
o168
 
5.9%
p168
 
5.9%
g144
 
5.1%
c144
 
5.1%
Other values (9)768
27.1%
Decimal Number
ValueCountFrequency (%)
296
22.0%
762
14.2%
060
13.8%
960
13.8%
652
11.9%
826
 
6.0%
424
 
5.5%
522
 
5.0%
118
 
4.1%
316
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/336
42.4%
'192
24.2%
.144
18.2%
:96
 
12.1%
,24
 
3.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Connector Punctuation
ValueCountFrequency (%)
_48
100.0%
Open Punctuation
ValueCountFrequency (%)
{24
100.0%
Close Punctuation
ValueCountFrequency (%)
}24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2832
67.0%
Common1396
33.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/336
24.1%
'192
13.8%
.144
10.3%
:96
 
6.9%
296
 
6.9%
72
 
5.2%
762
 
4.4%
060
 
4.3%
960
 
4.3%
652
 
3.7%
Other values (9)226
16.2%
Latin
ValueCountFrequency (%)
a288
 
10.2%
t264
 
9.3%
m240
 
8.5%
i240
 
8.5%
s216
 
7.6%
e192
 
6.8%
o168
 
5.9%
p168
 
5.9%
g144
 
5.1%
c144
 
5.1%
Other values (9)768
27.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII4228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/336
 
7.9%
a288
 
6.8%
t264
 
6.2%
m240
 
5.7%
i240
 
5.7%
s216
 
5.1%
e192
 
4.5%
'192
 
4.5%
o168
 
4.0%
p168
 
4.0%
Other values (28)1924
45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct14
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size864.0 B
nan
79 
<p>This Christmas, Mike and the team return a milestone favor to Ashlee Smith, a young woman from Reno, Nevada who has been providing toys and hope to children affected by disasters since she was 8 years old.</p>
 
1
<p>Krist and Singto go on an excursion by air and sea as they ride a helicopter and a speedboat in this special episode. </p>
 
1
<p>DAY 4, Part One. Jennifer believes that her spell on Vee has backfired - she resorts to more serious ways to get what she wants. Meanwhile, Jay follows his own agenda, and Sister hears two confessions.</p>
 
1
<p>As a convalescing Mr. Roderick gives Father Severick orders to find the missing boy Sean, Ryan has left a voicemail for his brother Connor saying he's in trouble. Meanwhile, Ryan's girlfriend Susan follows her own path to find him but instead comes face to face with a very different Father Severick.</p>
 
1
Other values (9)

Length

Max length804
Median length3
Mean length32.65217391
Min length3

Characters and Unicode

Total characters3004
Distinct characters61
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)14.1%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan79
85.9%
<p>This Christmas, Mike and the team return a milestone favor to Ashlee Smith, a young woman from Reno, Nevada who has been providing toys and hope to children affected by disasters since she was 8 years old.</p>1
 
1.1%
<p>Krist and Singto go on an excursion by air and sea as they ride a helicopter and a speedboat in this special episode. </p>1
 
1.1%
<p>DAY 4, Part One. Jennifer believes that her spell on Vee has backfired - she resorts to more serious ways to get what she wants. Meanwhile, Jay follows his own agenda, and Sister hears two confessions.</p>1
 
1.1%
<p>As a convalescing Mr. Roderick gives Father Severick orders to find the missing boy Sean, Ryan has left a voicemail for his brother Connor saying he's in trouble. Meanwhile, Ryan's girlfriend Susan follows her own path to find him but instead comes face to face with a very different Father Severick.</p>1
 
1.1%
<p>The loneliness of the season is taking a toll on both James and Dale. And they decide to do something about it. After all, nobody wants to be alone on Christmas.</p>1
 
1.1%
<p>Just as Kiki is getting ready to give Makoto her answer, Takumi suddenly appears and confesses he loves her. With Christmas fast approaching, the four friends—Kiki, Makoto, Takumi, and Riho—are still in a tangle of mixed-up emotions. Where will it all lead?</p>1
 
1.1%
<p>Diew's family moves to America, leaving him to make the transition to his college dorm all on his own where he meets some unique friends.  </p>1
 
1.1%
<p>'Ryo', who broke up with 'Chahan', 'Yuki Ehana,' 'Shiori Kato,' and 'Hitoko Murakami,' visits the ramen shop 'Satsumakko' for the first time in a while. So he hears from 'Murakami Tadashi' and 'Murakami Yoshie' that 'Chahhan' is out of order recently.<br />Ryo heads to the lesson studio for 'Chahhan'. Three people are surprised at the sudden visit of Ryo. Ryo enthusiastically scolds Yuki, Shiori, and Hitoko. Yuki is touched by Ryo's thoughts, and Shiori and Hitoko. Yuki goes to see the boy Ryo and she promises that she will definitely show success with 'pray'.<br />Three people who are making good progress toward their debut. Meanwhile, the color of the sky is changing more and more. The day when Ryo returns to the future is steadily approaching. 'Chahhan' invites Ryo to a one-man live.</p>1
 
1.1%
<p>Winnipeg Police find a victim who died in a stupid accident with no sign of violence.</p>1
 
1.1%
Other values (4)4
 
4.3%

Length

2022-05-09T21:19:11.269241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan79
 
14.4%
and19
 
3.5%
the18
 
3.3%
to18
 
3.3%
a15
 
2.7%
of8
 
1.5%
is7
 
1.3%
she6
 
1.1%
in6
 
1.1%
ryo6
 
1.1%
Other values (281)365
66.7%

Most occurring characters

ValueCountFrequency (%)
454
15.1%
n293
 
9.8%
a260
 
8.7%
e236
 
7.9%
i175
 
5.8%
o166
 
5.5%
s156
 
5.2%
t150
 
5.0%
h125
 
4.2%
r117
 
3.9%
Other values (51)872
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2279
75.9%
Space Separator456
 
15.2%
Other Punctuation104
 
3.5%
Uppercase Letter102
 
3.4%
Math Symbol56
 
1.9%
Dash Punctuation5
 
0.2%
Decimal Number2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n293
12.9%
a260
11.4%
e236
10.4%
i175
 
7.7%
o166
 
7.3%
s156
 
6.8%
t150
 
6.6%
h125
 
5.5%
r117
 
5.1%
l80
 
3.5%
Other values (16)521
22.9%
Uppercase Letter
ValueCountFrequency (%)
R16
15.7%
S14
13.7%
M12
11.8%
T9
8.8%
C9
8.8%
Y6
 
5.9%
A6
 
5.9%
K4
 
3.9%
J4
 
3.9%
W3
 
2.9%
Other values (11)19
18.6%
Other Punctuation
ValueCountFrequency (%)
.32
30.8%
'28
26.9%
,27
26.0%
/15
14.4%
:1
 
1.0%
?1
 
1.0%
Space Separator
ValueCountFrequency (%)
454
99.6%
 2
 
0.4%
Math Symbol
ValueCountFrequency (%)
<28
50.0%
>28
50.0%
Dash Punctuation
ValueCountFrequency (%)
-3
60.0%
2
40.0%
Decimal Number
ValueCountFrequency (%)
41
50.0%
81
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2381
79.3%
Common623
 
20.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n293
12.3%
a260
10.9%
e236
 
9.9%
i175
 
7.3%
o166
 
7.0%
s156
 
6.6%
t150
 
6.3%
h125
 
5.2%
r117
 
4.9%
l80
 
3.4%
Other values (37)623
26.2%
Common
ValueCountFrequency (%)
454
72.9%
.32
 
5.1%
<28
 
4.5%
>28
 
4.5%
'28
 
4.5%
,27
 
4.3%
/15
 
2.4%
-3
 
0.5%
 2
 
0.3%
2
 
0.3%
Other values (4)4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII2998
99.8%
None4
 
0.1%
Punctuation2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
454
15.1%
n293
 
9.8%
a260
 
8.7%
e236
 
7.9%
i175
 
5.8%
o166
 
5.5%
s156
 
5.2%
t150
 
5.0%
h125
 
4.2%
r117
 
3.9%
Other values (48)866
28.9%
None
ValueCountFrequency (%)
é2
50.0%
 2
50.0%
Punctuation
ValueCountFrequency (%)
2
100.0%

_embedded_show_id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct58
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48047.31522
Minimum2504
Maximum61755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size864.0 B
2022-05-09T21:19:11.402371image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2504
5-th percentile15250
Q148979
median52526
Q352655
95-th percentile59455.1
Maximum61755
Range59251
Interquartile range (IQR)3676

Descriptive statistics

Standard deviation12105.08082
Coefficient of variation (CV)0.2519408371
Kurtosis4.635590592
Mean48047.31522
Median Absolute Deviation (MAD)588
Skewness-2.271788019
Sum4420353
Variance146532981.6
MonotonicityNot monotonic
2022-05-09T21:19:11.515676image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5252611
 
12.0%
5262910
 
10.9%
526554
 
4.3%
531144
 
4.3%
521073
 
3.3%
547622
 
2.2%
152502
 
2.2%
525242
 
2.2%
521042
 
2.2%
486732
 
2.2%
Other values (48)50
54.3%
ValueCountFrequency (%)
25041
1.1%
64411
1.1%
133811
1.1%
133921
1.1%
152502
2.2%
176331
1.1%
249631
1.1%
283471
1.1%
306061
1.1%
329801
1.1%
ValueCountFrequency (%)
617551
1.1%
616741
1.1%
615301
1.1%
608091
1.1%
607851
1.1%
583671
1.1%
573391
1.1%
550161
1.1%
550021
1.1%
547622
2.2%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct58
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size864.0 B
https://www.tvmaze.com/shows/52526/whos-your-daddy
11 
https://www.tvmaze.com/shows/52629/rhyme-time-town-singalongs
10 
https://www.tvmaze.com/shows/52655/the-case-solver
 
4
https://www.tvmaze.com/shows/53114/edgar
 
4
https://www.tvmaze.com/shows/52107/new-face
 
3
Other values (53)
60 

Length

Max length68
Median length59
Mean length51.63043478
Min length40

Characters and Unicode

Total characters4750
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)50.0%

Sample

1st rowhttps://www.tvmaze.com/shows/51065/stand-up-autsajd
2nd rowhttps://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym
3rd rowhttps://www.tvmaze.com/shows/51336/core-sense
4th rowhttps://www.tvmaze.com/shows/54033/wu-shen-zhu-zai
5th rowhttps://www.tvmaze.com/shows/44276/7-days-of-romance

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/52526/whos-your-daddy11
 
12.0%
https://www.tvmaze.com/shows/52629/rhyme-time-town-singalongs10
 
10.9%
https://www.tvmaze.com/shows/52655/the-case-solver4
 
4.3%
https://www.tvmaze.com/shows/53114/edgar4
 
4.3%
https://www.tvmaze.com/shows/52107/new-face3
 
3.3%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze2
 
2.2%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
2.2%
https://www.tvmaze.com/shows/52524/forever-love2
 
2.2%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love2
 
2.2%
https://www.tvmaze.com/shows/48673/doomsday-awakening2
 
2.2%
Other values (48)50
54.3%

Length

2022-05-09T21:19:11.656123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/52526/whos-your-daddy11
 
12.0%
https://www.tvmaze.com/shows/52629/rhyme-time-town-singalongs10
 
10.9%
https://www.tvmaze.com/shows/52655/the-case-solver4
 
4.3%
https://www.tvmaze.com/shows/53114/edgar4
 
4.3%
https://www.tvmaze.com/shows/52107/new-face3
 
3.3%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love2
 
2.2%
https://www.tvmaze.com/shows/52400/dream-detective2
 
2.2%
https://www.tvmaze.com/shows/48673/doomsday-awakening2
 
2.2%
https://www.tvmaze.com/shows/52159/to-love2
 
2.2%
https://www.tvmaze.com/shows/52524/forever-love2
 
2.2%
Other values (48)50
54.3%

Most occurring characters

ValueCountFrequency (%)
/460
 
9.7%
w407
 
8.6%
t374
 
7.9%
s367
 
7.7%
o302
 
6.4%
e253
 
5.3%
h239
 
5.0%
m231
 
4.9%
a200
 
4.2%
.184
 
3.9%
Other values (30)1733
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3379
71.1%
Other Punctuation736
 
15.5%
Decimal Number459
 
9.7%
Dash Punctuation176
 
3.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w407
12.0%
t374
11.1%
s367
10.9%
o302
 
8.9%
e253
 
7.5%
h239
 
7.1%
m231
 
6.8%
a200
 
5.9%
v119
 
3.5%
c118
 
3.5%
Other values (16)769
22.8%
Decimal Number
ValueCountFrequency (%)
5104
22.7%
292
20.0%
649
10.7%
442
9.2%
138
 
8.3%
336
 
7.8%
032
 
7.0%
726
 
5.7%
923
 
5.0%
817
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/460
62.5%
.184
 
25.0%
:92
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3379
71.1%
Common1371
28.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w407
12.0%
t374
11.1%
s367
10.9%
o302
 
8.9%
e253
 
7.5%
h239
 
7.1%
m231
 
6.8%
a200
 
5.9%
v119
 
3.5%
c118
 
3.5%
Other values (16)769
22.8%
Common
ValueCountFrequency (%)
/460
33.6%
.184
 
13.4%
-176
 
12.8%
5104
 
7.6%
292
 
6.7%
:92
 
6.7%
649
 
3.6%
442
 
3.1%
138
 
2.8%
336
 
2.6%
Other values (4)98
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII4750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/460
 
9.7%
w407
 
8.6%
t374
 
7.9%
s367
 
7.7%
o302
 
6.4%
e253
 
5.3%
h239
 
5.0%
m231
 
4.9%
a200
 
4.2%
.184
 
3.9%
Other values (30)1733
36.5%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct58
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size864.0 B
Who's Your Daddy?
11 
Rhyme Time Town Singalongs
10 
The Case Solver
 
4
Edgar
 
4
New Face
 
3
Other values (53)
60 

Length

Max length33
Median length25
Mean length16.94565217
Min length5

Characters and Unicode

Total characters1559
Distinct characters79
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)50.0%

Sample

1st rowStand Up Аутсайд
2nd rowLAB с Антоном Беляевым
3rd rowCore Sense
4th rowWu Shen Zhu Zai
5th row7 Days of Romance

Common Values

ValueCountFrequency (%)
Who's Your Daddy?11
 
12.0%
Rhyme Time Town Singalongs10
 
10.9%
The Case Solver4
 
4.3%
Edgar4
 
4.3%
New Face3
 
3.3%
Youths in the Breeze2
 
2.2%
The Young Turks2
 
2.2%
Forever Love2
 
2.2%
Twisted Fate of Love2
 
2.2%
Doomsday Awakening2
 
2.2%
Other values (48)50
54.3%

Length

2022-05-09T21:19:11.795969image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the12
 
4.5%
who's11
 
4.1%
daddy11
 
4.1%
your11
 
4.1%
rhyme10
 
3.7%
time10
 
3.7%
town10
 
3.7%
singalongs10
 
3.7%
love7
 
2.6%
of5
 
1.9%
Other values (134)170
63.7%

Most occurring characters

ValueCountFrequency (%)
175
 
11.2%
e148
 
9.5%
o114
 
7.3%
a88
 
5.6%
n83
 
5.3%
i74
 
4.7%
r65
 
4.2%
s63
 
4.0%
t52
 
3.3%
h51
 
3.3%
Other values (69)646
41.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1098
70.4%
Uppercase Letter258
 
16.5%
Space Separator175
 
11.2%
Other Punctuation26
 
1.7%
Dash Punctuation1
 
0.1%
Decimal Number1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e148
13.5%
o114
 
10.4%
a88
 
8.0%
n83
 
7.6%
i74
 
6.7%
r65
 
5.9%
s63
 
5.7%
t52
 
4.7%
h51
 
4.6%
d49
 
4.5%
Other values (33)311
28.3%
Uppercase Letter
ValueCountFrequency (%)
T42
16.3%
S25
 
9.7%
D22
 
8.5%
R17
 
6.6%
Y17
 
6.6%
A16
 
6.2%
W16
 
6.2%
L13
 
5.0%
F12
 
4.7%
C11
 
4.3%
Other values (18)67
26.0%
Other Punctuation
ValueCountFrequency (%)
'11
42.3%
?11
42.3%
.2
 
7.7%
:1
 
3.8%
,1
 
3.8%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1
100.0%
Decimal Number
ValueCountFrequency (%)
71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1319
84.6%
Common203
 
13.0%
Cyrillic37
 
2.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e148
 
11.2%
o114
 
8.6%
a88
 
6.7%
n83
 
6.3%
i74
 
5.6%
r65
 
4.9%
s63
 
4.8%
t52
 
3.9%
h51
 
3.9%
d49
 
3.7%
Other values (40)532
40.3%
Cyrillic
ValueCountFrequency (%)
е5
13.5%
т4
 
10.8%
с3
 
8.1%
в3
 
8.1%
н3
 
8.1%
А2
 
5.4%
о2
 
5.4%
м2
 
5.4%
И1
 
2.7%
р1
 
2.7%
Other values (11)11
29.7%
Common
ValueCountFrequency (%)
175
86.2%
'11
 
5.4%
?11
 
5.4%
.2
 
1.0%
-1
 
0.5%
71
 
0.5%
:1
 
0.5%
,1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1521
97.6%
Cyrillic37
 
2.4%
None1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
 
11.5%
e148
 
9.7%
o114
 
7.5%
a88
 
5.8%
n83
 
5.5%
i74
 
4.9%
r65
 
4.3%
s63
 
4.1%
t52
 
3.4%
h51
 
3.4%
Other values (47)608
40.0%
Cyrillic
ValueCountFrequency (%)
е5
13.5%
т4
 
10.8%
с3
 
8.1%
в3
 
8.1%
н3
 
8.1%
А2
 
5.4%
о2
 
5.4%
м2
 
5.4%
И1
 
2.7%
р1
 
2.7%
Other values (11)11
29.7%
None
ValueCountFrequency (%)
ø1
100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size864.0 B
Scripted
51 
Animation
16 
Documentary
 
5
Reality
 
5
Talk Show
 
5
Other values (3)
10 

Length

Max length11
Median length8
Mean length8.076086957
Min length4

Characters and Unicode

Total characters743
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVariety
2nd rowDocumentary
3rd rowAnimation
4th rowAnimation
5th rowScripted

Common Values

ValueCountFrequency (%)
Scripted51
55.4%
Animation16
 
17.4%
Documentary5
 
5.4%
Reality5
 
5.4%
Talk Show5
 
5.4%
Sports5
 
5.4%
News3
 
3.3%
Variety2
 
2.2%

Length

2022-05-09T21:19:11.905187image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:19:12.014789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
scripted51
52.6%
animation16
 
16.5%
documentary5
 
5.2%
reality5
 
5.2%
talk5
 
5.2%
show5
 
5.2%
sports5
 
5.2%
news3
 
3.1%
variety2
 
2.1%

Most occurring characters

ValueCountFrequency (%)
i90
12.1%
t84
11.3%
e66
8.9%
r63
8.5%
S61
8.2%
c56
 
7.5%
p56
 
7.5%
d51
 
6.9%
n37
 
5.0%
a33
 
4.4%
Other values (16)146
19.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter641
86.3%
Uppercase Letter97
 
13.1%
Space Separator5
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i90
14.0%
t84
13.1%
e66
10.3%
r63
9.8%
c56
8.7%
p56
8.7%
d51
8.0%
n37
5.8%
a33
 
5.1%
o31
 
4.8%
Other values (8)74
11.5%
Uppercase Letter
ValueCountFrequency (%)
S61
62.9%
A16
 
16.5%
D5
 
5.2%
T5
 
5.2%
R5
 
5.2%
N3
 
3.1%
V2
 
2.1%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin738
99.3%
Common5
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i90
12.2%
t84
11.4%
e66
8.9%
r63
8.5%
S61
8.3%
c56
 
7.6%
p56
 
7.6%
d51
 
6.9%
n37
 
5.0%
a33
 
4.5%
Other values (15)141
19.1%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII743
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i90
12.1%
t84
11.3%
e66
8.9%
r63
8.5%
S61
8.2%
c56
 
7.5%
p56
 
7.5%
d51
 
6.9%
n37
 
5.0%
a33
 
4.4%
Other values (16)146
19.7%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct15
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size864.0 B
English
29 
Chinese
23 
Hindi
11 
Japanese
Korean
Other values (10)
20 

Length

Max length9
Median length7
Mean length6.673913043
Min length3

Characters and Unicode

Total characters614
Distinct characters30
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)5.4%

Sample

1st rowRussian
2nd rowRussian
3rd rowChinese
4th rowChinese
5th rowKorean

Common Values

ValueCountFrequency (%)
English29
31.5%
Chinese23
25.0%
Hindi11
 
12.0%
Japanese5
 
5.4%
Korean4
 
4.3%
Norwegian4
 
4.3%
French4
 
4.3%
Russian3
 
3.3%
Thai2
 
2.2%
Tagalog2
 
2.2%
Other values (5)5
 
5.4%

Length

2022-05-09T21:19:12.154615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english29
31.5%
chinese23
25.0%
hindi11
 
12.0%
japanese5
 
5.4%
korean4
 
4.3%
norwegian4
 
4.3%
french4
 
4.3%
russian3
 
3.3%
thai2
 
2.2%
tagalog2
 
2.2%
Other values (5)5
 
5.4%

Most occurring characters

ValueCountFrequency (%)
n87
14.2%
i86
14.0%
e69
11.2%
s65
10.6%
h60
9.8%
g37
 
6.0%
l31
 
5.0%
a31
 
5.0%
E29
 
4.7%
C23
 
3.7%
Other values (20)96
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter523
85.2%
Uppercase Letter91
 
14.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n87
16.6%
i86
16.4%
e69
13.2%
s65
12.4%
h60
11.5%
g37
7.1%
l31
 
5.9%
a31
 
5.9%
r14
 
2.7%
d11
 
2.1%
Other values (7)32
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
E29
31.9%
C23
25.3%
H11
 
12.1%
J5
 
5.5%
K4
 
4.4%
N4
 
4.4%
F4
 
4.4%
T4
 
4.4%
R3
 
3.3%
P1
 
1.1%
Other values (3)3
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Latin614
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n87
14.2%
i86
14.0%
e69
11.2%
s65
10.6%
h60
9.8%
g37
 
6.0%
l31
 
5.0%
a31
 
5.0%
E29
 
4.7%
C23
 
3.7%
Other values (20)96
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII614
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n87
14.2%
i86
14.0%
e69
11.2%
s65
10.6%
h60
9.8%
g37
 
6.0%
l31
 
5.0%
a31
 
5.0%
E29
 
4.7%
C23
 
3.7%
Other values (20)96
15.6%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct30
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size864.0 B
[]
19 
['Drama', 'Comedy', 'Adult']
11 
['Children', 'Music']
10 
['Drama', 'Romance']
['Comedy', 'Crime', 'Mystery']
 
4
Other values (25)
40 

Length

Max length45
Median length36
Mean length19.15217391
Min length2

Characters and Unicode

Total characters1762
Distinct characters33
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)17.4%

Sample

1st row[]
2nd row['Music']
3rd row['Action', 'Anime', 'Science-Fiction']
4th row['Action', 'Adventure', 'Anime', 'Fantasy']
5th row['Drama', 'Romance']

Common Values

ValueCountFrequency (%)
[]19
20.7%
['Drama', 'Comedy', 'Adult']11
12.0%
['Children', 'Music']10
10.9%
['Drama', 'Romance']8
 
8.7%
['Comedy', 'Crime', 'Mystery']4
 
4.3%
['Crime']4
 
4.3%
['Comedy']4
 
4.3%
['Action', 'Crime', 'Thriller']3
 
3.3%
['Drama', 'Romance', 'History']3
 
3.3%
['Drama', 'Fantasy']2
 
2.2%
Other values (20)24
26.1%

Length

2022-05-09T21:19:12.274226image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
drama32
17.0%
comedy22
11.7%
19
10.1%
romance15
 
8.0%
crime13
 
6.9%
music12
 
6.4%
adult11
 
5.9%
children11
 
5.9%
mystery8
 
4.3%
action7
 
3.7%
Other values (12)38
20.2%

Most occurring characters

ValueCountFrequency (%)
'338
19.2%
a100
 
5.7%
e97
 
5.5%
96
 
5.4%
,96
 
5.4%
[92
 
5.2%
r92
 
5.2%
]92
 
5.2%
m89
 
5.1%
i71
 
4.0%
Other values (23)599
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter871
49.4%
Other Punctuation434
24.6%
Uppercase Letter173
 
9.8%
Space Separator96
 
5.4%
Open Punctuation92
 
5.2%
Close Punctuation92
 
5.2%
Dash Punctuation4
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a100
11.5%
e97
11.1%
r92
10.6%
m89
10.2%
i71
8.2%
o59
 
6.8%
n57
 
6.5%
d49
 
5.6%
y48
 
5.5%
c46
 
5.3%
Other values (7)163
18.7%
Uppercase Letter
ValueCountFrequency (%)
C46
26.6%
D32
18.5%
A26
15.0%
M20
11.6%
R15
 
8.7%
F14
 
8.1%
T8
 
4.6%
S6
 
3.5%
H4
 
2.3%
W2
 
1.2%
Other Punctuation
ValueCountFrequency (%)
'338
77.9%
,96
 
22.1%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
[92
100.0%
Close Punctuation
ValueCountFrequency (%)
]92
100.0%
Dash Punctuation
ValueCountFrequency (%)
-4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1044
59.3%
Common718
40.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a100
 
9.6%
e97
 
9.3%
r92
 
8.8%
m89
 
8.5%
i71
 
6.8%
o59
 
5.7%
n57
 
5.5%
d49
 
4.7%
y48
 
4.6%
C46
 
4.4%
Other values (17)336
32.2%
Common
ValueCountFrequency (%)
'338
47.1%
96
 
13.4%
,96
 
13.4%
[92
 
12.8%
]92
 
12.8%
-4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'338
19.2%
a100
 
5.7%
e97
 
5.5%
96
 
5.4%
,96
 
5.4%
[92
 
5.2%
r92
 
5.2%
]92
 
5.2%
m89
 
5.1%
i71
 
4.0%
Other values (23)599
34.0%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size864.0 B
Running
54 
Ended
24 
To Be Determined
14 

Length

Max length16
Median length7
Mean length7.847826087
Min length5

Characters and Unicode

Total characters722
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEnded
2nd rowRunning
3rd rowRunning
4th rowRunning
5th rowEnded

Common Values

ValueCountFrequency (%)
Running54
58.7%
Ended24
26.1%
To Be Determined14
 
15.2%

Length

2022-05-09T21:19:12.405874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:19:12.520927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
running54
45.0%
ended24
20.0%
to14
 
11.7%
be14
 
11.7%
determined14
 
11.7%

Most occurring characters

ValueCountFrequency (%)
n200
27.7%
e80
 
11.1%
i68
 
9.4%
d62
 
8.6%
R54
 
7.5%
u54
 
7.5%
g54
 
7.5%
28
 
3.9%
E24
 
3.3%
T14
 
1.9%
Other values (6)84
11.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter574
79.5%
Uppercase Letter120
 
16.6%
Space Separator28
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n200
34.8%
e80
 
13.9%
i68
 
11.8%
d62
 
10.8%
u54
 
9.4%
g54
 
9.4%
o14
 
2.4%
t14
 
2.4%
r14
 
2.4%
m14
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
R54
45.0%
E24
20.0%
T14
 
11.7%
B14
 
11.7%
D14
 
11.7%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin694
96.1%
Common28
 
3.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
n200
28.8%
e80
 
11.5%
i68
 
9.8%
d62
 
8.9%
R54
 
7.8%
u54
 
7.8%
g54
 
7.8%
E24
 
3.5%
T14
 
2.0%
o14
 
2.0%
Other values (5)70
 
10.1%
Common
ValueCountFrequency (%)
28
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n200
27.7%
e80
 
11.1%
i68
 
9.4%
d62
 
8.6%
R54
 
7.5%
u54
 
7.5%
g54
 
7.5%
28
 
3.9%
E24
 
3.3%
T14
 
1.9%
Other values (6)84
11.6%

_embedded_show_runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct22
Distinct (%)28.6%
Missing15
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean31.1038961
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size864.0 B
2022-05-09T21:19:12.617693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q113
median23
Q345
95-th percentile96
Maximum120
Range119
Interquartile range (IQR)32

Descriptive statistics

Standard deviation26.6717791
Coefficient of variation (CV)0.8575060504
Kurtosis4.752958409
Mean31.1038961
Median Absolute Deviation (MAD)10
Skewness2.162782574
Sum2395
Variance711.3838004
MonotonicityNot monotonic
2022-05-09T21:19:12.771799image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2014
15.2%
4514
15.2%
1310
10.9%
306
 
6.5%
275
 
5.4%
154
 
4.3%
1204
 
4.3%
253
 
3.3%
72
 
2.2%
102
 
2.2%
Other values (12)13
14.1%
(Missing)15
16.3%
ValueCountFrequency (%)
11
 
1.1%
41
 
1.1%
51
 
1.1%
72
 
2.2%
81
 
1.1%
102
 
2.2%
111
 
1.1%
121
 
1.1%
1310
10.9%
154
 
4.3%
ValueCountFrequency (%)
1204
 
4.3%
902
 
2.2%
571
 
1.1%
4514
15.2%
401
 
1.1%
306
6.5%
275
 
5.4%
261
 
1.1%
253
 
3.3%
241
 
1.1%

_embedded_show_averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct31
Distinct (%)34.4%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean29.15555556
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size864.0 B
2022-05-09T21:19:12.875739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q113
median20.5
Q342
95-th percentile90
Maximum120
Range119
Interquartile range (IQR)29

Descriptive statistics

Standard deviation24.61885233
Coefficient of variation (CV)0.844396612
Kurtosis5.372049736
Mean29.15555556
Median Absolute Deviation (MAD)7.5
Skewness2.214811141
Sum2624
Variance606.0878901
MonotonicityNot monotonic
2022-05-09T21:19:13.035142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4513
14.1%
1911
 
12.0%
1310
 
10.9%
275
 
5.4%
424
 
4.3%
154
 
4.3%
124
 
4.3%
1203
 
3.3%
253
 
3.3%
303
 
3.3%
Other values (21)30
32.6%
ValueCountFrequency (%)
11
 
1.1%
41
 
1.1%
51
 
1.1%
61
 
1.1%
72
2.2%
81
 
1.1%
91
 
1.1%
102
2.2%
112
2.2%
124
4.3%
ValueCountFrequency (%)
1203
 
3.3%
971
 
1.1%
902
 
2.2%
591
 
1.1%
4513
14.1%
424
 
4.3%
381
 
1.1%
303
 
3.3%
283
 
3.3%
275
 
5.4%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct45
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size864.0 B
2020-12-22
12 
2020-04-02
11 
2020-12-21
2020-11-24
 
4
2020-08-05
 
4
Other values (40)
55 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters920
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)30.4%

Sample

1st row2020-10-13
2nd row2019-12-17
3rd row2020-10-13
4th row2020-03-08
5th row2019-10-08

Common Values

ValueCountFrequency (%)
2020-12-2212
 
13.0%
2020-04-0211
 
12.0%
2020-12-216
 
6.5%
2020-11-244
 
4.3%
2020-08-054
 
4.3%
2020-12-083
 
3.3%
2020-10-203
 
3.3%
2020-12-013
 
3.3%
2020-11-232
 
2.2%
2020-11-192
 
2.2%
Other values (35)42
45.7%

Length

2022-05-09T21:19:13.153088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-2212
 
13.0%
2020-04-0211
 
12.0%
2020-12-216
 
6.5%
2020-11-244
 
4.3%
2020-08-054
 
4.3%
2020-12-083
 
3.3%
2020-10-203
 
3.3%
2020-12-013
 
3.3%
2020-11-302
 
2.2%
2019-10-082
 
2.2%
Other values (35)42
45.7%

Most occurring characters

ValueCountFrequency (%)
2256
27.8%
0242
26.3%
-184
20.0%
1128
13.9%
426
 
2.8%
924
 
2.6%
821
 
2.3%
316
 
1.7%
514
 
1.5%
78
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number736
80.0%
Dash Punctuation184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2256
34.8%
0242
32.9%
1128
17.4%
426
 
3.5%
924
 
3.3%
821
 
2.9%
316
 
2.2%
514
 
1.9%
78
 
1.1%
61
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
-184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2256
27.8%
0242
26.3%
-184
20.0%
1128
13.9%
426
 
2.8%
924
 
2.6%
821
 
2.3%
316
 
1.7%
514
 
1.5%
78
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2256
27.8%
0242
26.3%
-184
20.0%
1128
13.9%
426
 
2.8%
924
 
2.6%
821
 
2.3%
316
 
1.7%
514
 
1.5%
78
 
0.9%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct14
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size864.0 B
nan
68 
2020-12-22
 
5
2021-01-05
 
5
2020-12-31
 
2
2020-12-30
 
2
Other values (9)
10 

Length

Max length10
Median length3
Mean length4.826086957
Min length3

Characters and Unicode

Total characters444
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)8.7%

Sample

1st row2020-12-31
2nd rownan
3rd rownan
4th rownan
5th row2021-01-20

Common Values

ValueCountFrequency (%)
nan68
73.9%
2020-12-225
 
5.4%
2021-01-055
 
5.4%
2020-12-312
 
2.2%
2020-12-302
 
2.2%
2020-12-232
 
2.2%
2021-01-201
 
1.1%
2021-01-061
 
1.1%
2020-12-241
 
1.1%
2021-02-161
 
1.1%
Other values (4)4
 
4.3%

Length

2022-05-09T21:19:13.390611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan68
73.9%
2020-12-225
 
5.4%
2021-01-055
 
5.4%
2020-12-312
 
2.2%
2020-12-302
 
2.2%
2020-12-232
 
2.2%
2021-01-201
 
1.1%
2021-01-061
 
1.1%
2020-12-241
 
1.1%
2021-02-161
 
1.1%
Other values (4)4
 
4.3%

Most occurring characters

ValueCountFrequency (%)
n136
30.6%
280
18.0%
a68
15.3%
059
13.3%
-48
 
10.8%
134
 
7.7%
37
 
1.6%
56
 
1.4%
63
 
0.7%
92
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter204
45.9%
Decimal Number192
43.2%
Dash Punctuation48
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
280
41.7%
059
30.7%
134
17.7%
37
 
3.6%
56
 
3.1%
63
 
1.6%
92
 
1.0%
41
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
n136
66.7%
a68
33.3%
Dash Punctuation
ValueCountFrequency (%)
-48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common240
54.1%
Latin204
45.9%

Most frequent character per script

Common
ValueCountFrequency (%)
280
33.3%
059
24.6%
-48
20.0%
134
14.2%
37
 
2.9%
56
 
2.5%
63
 
1.2%
92
 
0.8%
41
 
0.4%
Latin
ValueCountFrequency (%)
n136
66.7%
a68
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n136
30.6%
280
18.0%
a68
15.3%
059
13.3%
-48
 
10.8%
134
 
7.7%
37
 
1.6%
56
 
1.4%
63
 
0.7%
92
 
0.5%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct52
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size864.0 B
https://www.altbalaji.com/show/whos-your-daddy/333
11 
https://www.netflix.com/title/81221345
10 
nan
https://www.crave.ca/en/tv-shows/edgar
 
4
https://www.iqiyi.com/a_c4m3iuc94t.html
 
4
Other values (47)
56 

Length

Max length105
Median length74
Mean length44.60869565
Min length3

Characters and Unicode

Total characters4104
Distinct characters73
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)42.4%

Sample

1st rowhttps://premier.one/show/13734
2nd rowhttps://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326
3rd rowhttps://www.bilibili.com/bangumi/media/md28223064
4th rowhttps://v.qq.com/detail/m/7q544xyrava3vxf.html
5th rownan

Common Values

ValueCountFrequency (%)
https://www.altbalaji.com/show/whos-your-daddy/33311
 
12.0%
https://www.netflix.com/title/8122134510
 
10.9%
nan7
 
7.6%
https://www.crave.ca/en/tv-shows/edgar4
 
4.3%
https://www.iqiyi.com/a_c4m3iuc94t.html4
 
4.3%
https://v.qq.com/detail/m/mzc00200tu76tos.html3
 
3.3%
https://v.qq.com/detail/j/jaqpncskrgv28oo.html2
 
2.2%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef2
 
2.2%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html2
 
2.2%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html2
 
2.2%
Other values (42)45
48.9%

Length

2022-05-09T21:19:13.522347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.altbalaji.com/show/whos-your-daddy/33311
 
12.0%
https://www.netflix.com/title/8122134510
 
10.9%
nan7
 
7.6%
https://www.crave.ca/en/tv-shows/edgar4
 
4.3%
https://www.iqiyi.com/a_c4m3iuc94t.html4
 
4.3%
https://v.qq.com/detail/m/mzc00200tu76tos.html3
 
3.3%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html2
 
2.2%
https://www.tytnetwork.com2
 
2.2%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab2
 
2.2%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=12
 
2.2%
Other values (42)45
48.9%

Most occurring characters

ValueCountFrequency (%)
/358
 
8.7%
t335
 
8.2%
w208
 
5.1%
s190
 
4.6%
.190
 
4.6%
o188
 
4.6%
h162
 
3.9%
a153
 
3.7%
e145
 
3.5%
m127
 
3.1%
Other values (63)2048
49.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2669
65.0%
Other Punctuation711
 
17.3%
Decimal Number449
 
10.9%
Uppercase Letter181
 
4.4%
Dash Punctuation51
 
1.2%
Math Symbol25
 
0.6%
Connector Punctuation18
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t335
 
12.6%
w208
 
7.8%
s190
 
7.1%
o188
 
7.0%
h162
 
6.1%
a153
 
5.7%
e145
 
5.4%
m127
 
4.8%
c124
 
4.6%
i123
 
4.6%
Other values (16)914
34.2%
Uppercase Letter
ValueCountFrequency (%)
E24
 
13.3%
B13
 
7.2%
A13
 
7.2%
T10
 
5.5%
C10
 
5.5%
P9
 
5.0%
J9
 
5.0%
D9
 
5.0%
F9
 
5.0%
W8
 
4.4%
Other values (15)67
37.0%
Decimal Number
ValueCountFrequency (%)
372
16.0%
162
13.8%
256
12.5%
454
12.0%
048
10.7%
844
9.8%
537
8.2%
931
6.9%
723
 
5.1%
622
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/358
50.4%
.190
26.7%
:85
 
12.0%
%57
 
8.0%
?12
 
1.7%
&7
 
1.0%
#1
 
0.1%
!1
 
0.1%
Math Symbol
ValueCountFrequency (%)
=23
92.0%
+2
 
8.0%
Dash Punctuation
ValueCountFrequency (%)
-51
100.0%
Connector Punctuation
ValueCountFrequency (%)
_18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2850
69.4%
Common1254
30.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t335
 
11.8%
w208
 
7.3%
s190
 
6.7%
o188
 
6.6%
h162
 
5.7%
a153
 
5.4%
e145
 
5.1%
m127
 
4.5%
c124
 
4.4%
i123
 
4.3%
Other values (41)1095
38.4%
Common
ValueCountFrequency (%)
/358
28.5%
.190
15.2%
:85
 
6.8%
372
 
5.7%
162
 
4.9%
%57
 
4.5%
256
 
4.5%
454
 
4.3%
-51
 
4.1%
048
 
3.8%
Other values (12)221
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII4104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/358
 
8.7%
t335
 
8.2%
w208
 
5.1%
s190
 
4.6%
.190
 
4.6%
o188
 
4.6%
h162
 
3.9%
a153
 
3.7%
e145
 
3.5%
m127
 
3.1%
Other values (63)2048
49.9%

_embedded_show_weight
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct40
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.22826087
Minimum0
Maximum91
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size864.0 B
2022-05-09T21:19:13.639405image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median25
Q334
95-th percentile76.45
Maximum91
Range91
Interquartile range (IQR)19

Descriptive statistics

Standard deviation20.83008352
Coefficient of variation (CV)0.6890930182
Kurtosis0.8400052912
Mean30.22826087
Median Absolute Deviation (MAD)10
Skewness1.16418265
Sum2781
Variance433.8923794
MonotonicityNot monotonic
2022-05-09T21:19:13.742166image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1514
15.2%
2513
 
14.1%
286
 
6.5%
185
 
5.4%
34
 
4.3%
344
 
4.3%
304
 
4.3%
273
 
3.3%
293
 
3.3%
322
 
2.2%
Other values (30)34
37.0%
ValueCountFrequency (%)
01
 
1.1%
11
 
1.1%
21
 
1.1%
34
 
4.3%
62
 
2.2%
101
 
1.1%
131
 
1.1%
141
 
1.1%
1514
15.2%
185
 
5.4%
ValueCountFrequency (%)
911
1.1%
851
1.1%
821
1.1%
791
1.1%
771
1.1%
761
1.1%
721
1.1%
671
1.1%
661
1.1%
642
2.2%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size864.0 B
nan
91 
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}
 
1

Length

Max length57
Median length3
Mean length3.586956522
Min length3

Characters and Unicode

Total characters330
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan91
98.9%
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}1
 
1.1%

Length

2022-05-09T21:19:13.864047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:19:13.987231image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan91
93.8%
name1
 
1.0%
japan1
 
1.0%
code1
 
1.0%
jp1
 
1.0%
timezone1
 
1.0%
asia/tokyo1
 
1.0%

Most occurring characters

ValueCountFrequency (%)
n185
56.1%
a95
28.8%
'12
 
3.6%
5
 
1.5%
e4
 
1.2%
o4
 
1.2%
:3
 
0.9%
J2
 
0.6%
,2
 
0.6%
m2
 
0.6%
Other values (15)16
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter300
90.9%
Other Punctuation18
 
5.5%
Space Separator5
 
1.5%
Uppercase Letter5
 
1.5%
Open Punctuation1
 
0.3%
Close Punctuation1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n185
61.7%
a95
31.7%
e4
 
1.3%
o4
 
1.3%
m2
 
0.7%
i2
 
0.7%
y1
 
0.3%
k1
 
0.3%
s1
 
0.3%
t1
 
0.3%
Other values (4)4
 
1.3%
Other Punctuation
ValueCountFrequency (%)
'12
66.7%
:3
 
16.7%
,2
 
11.1%
/1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
J2
40.0%
A1
20.0%
T1
20.0%
P1
20.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
{1
100.0%
Close Punctuation
ValueCountFrequency (%)
}1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin305
92.4%
Common25
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n185
60.7%
a95
31.1%
e4
 
1.3%
o4
 
1.3%
J2
 
0.7%
m2
 
0.7%
i2
 
0.7%
A1
 
0.3%
y1
 
0.3%
k1
 
0.3%
Other values (8)8
 
2.6%
Common
ValueCountFrequency (%)
'12
48.0%
5
20.0%
:3
 
12.0%
,2
 
8.0%
/1
 
4.0%
{1
 
4.0%
}1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n185
56.1%
a95
28.8%
'12
 
3.6%
5
 
1.5%
e4
 
1.2%
o4
 
1.2%
:3
 
0.9%
J2
 
0.6%
,2
 
0.6%
m2
 
0.6%
Other values (15)16
 
4.8%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct53
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size864.0 B
<p>Don't teach your daddy how to make babies! Especially if your dad is Prem or Soggy, the daddy of all daddies in the daddy history! Who's Your Daddy is the tale of Prem, Soggy and Tidda, who'll tickle your funny bones as they go down their memory lanes laced with ‘blue-films' and hilarious sexual encounters to uncover who's the Daddy of Soggy's son!</p>
11 
<p>Love snackable, snap-worthy songs? Sing along with the Rhyme Time Town friends as they use their imaginations and flex their problem-solving skills!</p>
10 
nan
<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>
 
4
<p>Although Edgar Aquin can go unnoticed by his appearance, he is a formidable investigator, with an extraordinary sense of observation. With his unconventional methods, sharp instincts and unique logic, he will succeed in proving the guilt of the suspects every time!</p>
 
4
Other values (48)
56 

Length

Max length913
Median length541
Mean length291.2173913
Min length3

Characters and Unicode

Total characters26792
Distinct characters83
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)44.6%

Sample

1st row<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>
2nd row<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>
3rd row<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>
4th row<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>
5th row<p>Da Eun works part-time and Kim Byul is an idol in her 5th years since debut. These two girls who look alike decide to change each other's lives just for 7 days. It tells the romantic encounters of these 2 girls.</p>

Common Values

ValueCountFrequency (%)
<p>Don't teach your daddy how to make babies! Especially if your dad is Prem or Soggy, the daddy of all daddies in the daddy history! Who's Your Daddy is the tale of Prem, Soggy and Tidda, who'll tickle your funny bones as they go down their memory lanes laced with ‘blue-films' and hilarious sexual encounters to uncover who's the Daddy of Soggy's son!</p>11
 
12.0%
<p>Love snackable, snap-worthy songs? Sing along with the Rhyme Time Town friends as they use their imaginations and flex their problem-solving skills!</p>10
 
10.9%
nan7
 
7.6%
<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>4
 
4.3%
<p>Although Edgar Aquin can go unnoticed by his appearance, he is a formidable investigator, with an extraordinary sense of observation. With his unconventional methods, sharp instincts and unique logic, he will succeed in proving the guilt of the suspects every time!</p>4
 
4.3%
<p>Pan, a desolate plastic surgeon, lived a repetitive and boring life every day until a conspiracy happened. He woke up in an abandoned factory, and found that someone had replaced his identity with a face exactly like him. His world has been completely overturned and left in a perilous situation. Can he overcome the difficulties and peel away the truth? How would he regain his identity?</p>3
 
3.3%
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>2
 
2.2%
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>2
 
2.2%
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>2
 
2.2%
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>2
 
2.2%
Other values (43)45
48.9%

Length

2022-05-09T21:19:14.099382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the279
 
6.3%
and162
 
3.6%
of124
 
2.8%
to107
 
2.4%
a99
 
2.2%
in88
 
2.0%
with72
 
1.6%
is57
 
1.3%
daddy55
 
1.2%
their49
 
1.1%
Other values (1271)3347
75.4%

Most occurring characters

ValueCountFrequency (%)
4337
16.2%
e2436
 
9.1%
t1626
 
6.1%
a1593
 
5.9%
o1584
 
5.9%
n1518
 
5.7%
i1459
 
5.4%
s1268
 
4.7%
r1202
 
4.5%
h1059
 
4.0%
Other values (73)8710
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter20184
75.3%
Space Separator4347
 
16.2%
Uppercase Letter874
 
3.3%
Other Punctuation790
 
2.9%
Math Symbol482
 
1.8%
Dash Punctuation67
 
0.3%
Decimal Number30
 
0.1%
Initial Punctuation11
 
< 0.1%
Open Punctuation3
 
< 0.1%
Close Punctuation3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e2436
12.1%
t1626
 
8.1%
a1593
 
7.9%
o1584
 
7.8%
n1518
 
7.5%
i1459
 
7.2%
s1268
 
6.3%
r1202
 
6.0%
h1059
 
5.2%
d903
 
4.5%
Other values (19)5536
27.4%
Uppercase Letter
ValueCountFrequency (%)
T105
 
12.0%
S90
 
10.3%
D65
 
7.4%
A54
 
6.2%
Y50
 
5.7%
P45
 
5.1%
C44
 
5.0%
W43
 
4.9%
R38
 
4.3%
L38
 
4.3%
Other values (16)302
34.6%
Other Punctuation
ValueCountFrequency (%)
,254
32.2%
.176
22.3%
/124
15.7%
'115
14.6%
!59
 
7.5%
"27
 
3.4%
?18
 
2.3%
:13
 
1.6%
;3
 
0.4%
1
 
0.1%
Decimal Number
ValueCountFrequency (%)
010
33.3%
27
23.3%
15
16.7%
33
 
10.0%
72
 
6.7%
52
 
6.7%
81
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
-58
86.6%
7
 
10.4%
2
 
3.0%
Space Separator
ValueCountFrequency (%)
4337
99.8%
 10
 
0.2%
Math Symbol
ValueCountFrequency (%)
<241
50.0%
>241
50.0%
Initial Punctuation
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
(3
100.0%
Close Punctuation
ValueCountFrequency (%)
)3
100.0%
Currency Symbol
ValueCountFrequency (%)
$1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin21058
78.6%
Common5734
 
21.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e2436
 
11.6%
t1626
 
7.7%
a1593
 
7.6%
o1584
 
7.5%
n1518
 
7.2%
i1459
 
6.9%
s1268
 
6.0%
r1202
 
5.7%
h1059
 
5.0%
d903
 
4.3%
Other values (45)6410
30.4%
Common
ValueCountFrequency (%)
4337
75.6%
,254
 
4.4%
<241
 
4.2%
>241
 
4.2%
.176
 
3.1%
/124
 
2.2%
'115
 
2.0%
!59
 
1.0%
-58
 
1.0%
"27
 
0.5%
Other values (18)102
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII26757
99.9%
Punctuation21
 
0.1%
None14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4337
16.2%
e2436
 
9.1%
t1626
 
6.1%
a1593
 
6.0%
o1584
 
5.9%
n1518
 
5.7%
i1459
 
5.5%
s1268
 
4.7%
r1202
 
4.5%
h1059
 
4.0%
Other values (65)8675
32.4%
Punctuation
ValueCountFrequency (%)
11
52.4%
7
33.3%
2
 
9.5%
1
 
4.8%
None
ValueCountFrequency (%)
 10
71.4%
é2
 
14.3%
è1
 
7.1%
å1
 
7.1%

_embedded_show_updated
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct58
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1633262934
Minimum1604587119
Maximum1651934883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size864.0 B
2022-05-09T21:19:14.217340image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1604587119
5-th percentile1608382289
Q11612552750
median1639592660
Q31648456846
95-th percentile1651420716
Maximum1651934883
Range47347764
Interquartile range (IQR)35904095.25

Descriptive statistics

Standard deviation17162036.49
Coefficient of variation (CV)0.01050782218
Kurtosis-1.559290182
Mean1633262934
Median Absolute Deviation (MAD)11356784.5
Skewness-0.4648813658
Sum1.502601899 × 1011
Variance2.945354965 × 1014
MonotonicityNot monotonic
2022-05-09T21:19:14.360151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164511077111
 
12.0%
163959266010
 
10.9%
16091182014
 
4.3%
16116133544
 
4.3%
16064181643
 
3.3%
16184666822
 
2.2%
16481900582
 
2.2%
16124781452
 
2.2%
16095351412
 
2.2%
16180767152
 
2.2%
Other values (48)50
54.3%
ValueCountFrequency (%)
16045871191
 
1.1%
16064181643
3.3%
16083529671
 
1.1%
16084062791
 
1.1%
16090607262
2.2%
16091182014
4.3%
16095351412
2.2%
16099236481
 
1.1%
16102192241
 
1.1%
16114368421
 
1.1%
ValueCountFrequency (%)
16519348831
1.1%
16519332091
1.1%
16518386471
1.1%
16517773161
1.1%
16516154151
1.1%
16512614161
1.1%
16512534591
1.1%
16512532501
1.1%
16511832021
1.1%
16511586461
1.1%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size864.0 B
https://api.tvmaze.com/episodes/1977902
 
1
https://api.tvmaze.com/episodes/1998673
 
1
https://api.tvmaze.com/episodes/1998683
 
1
https://api.tvmaze.com/episodes/1998682
 
1
https://api.tvmaze.com/episodes/1998681
 
1
Other values (87)
87 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters3588
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
1.1%
https://api.tvmaze.com/episodes/19986731
 
1.1%
https://api.tvmaze.com/episodes/19986831
 
1.1%
https://api.tvmaze.com/episodes/19986821
 
1.1%
https://api.tvmaze.com/episodes/19986811
 
1.1%
https://api.tvmaze.com/episodes/19986801
 
1.1%
https://api.tvmaze.com/episodes/19986791
 
1.1%
https://api.tvmaze.com/episodes/19986781
 
1.1%
https://api.tvmaze.com/episodes/19986761
 
1.1%
https://api.tvmaze.com/episodes/19986751
 
1.1%
Other values (82)82
89.1%

Length

2022-05-09T21:19:14.516981image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
1.1%
https://api.tvmaze.com/episodes/23244301
 
1.1%
https://api.tvmaze.com/episodes/19640001
 
1.1%
https://api.tvmaze.com/episodes/19954051
 
1.1%
https://api.tvmaze.com/episodes/20077601
 
1.1%
https://api.tvmaze.com/episodes/19857891
 
1.1%
https://api.tvmaze.com/episodes/20396221
 
1.1%
https://api.tvmaze.com/episodes/20396231
 
1.1%
https://api.tvmaze.com/episodes/23244271
 
1.1%
https://api.tvmaze.com/episodes/23244281
 
1.1%
Other values (82)82
89.1%

Most occurring characters

ValueCountFrequency (%)
/368
 
10.3%
p276
 
7.7%
s276
 
7.7%
e276
 
7.7%
t276
 
7.7%
o184
 
5.1%
a184
 
5.1%
i184
 
5.1%
.184
 
5.1%
m184
 
5.1%
Other values (16)1196
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2300
64.1%
Other Punctuation644
 
17.9%
Decimal Number644
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p276
12.0%
s276
12.0%
e276
12.0%
t276
12.0%
o184
8.0%
a184
8.0%
i184
8.0%
m184
8.0%
h92
 
4.0%
d92
 
4.0%
Other values (3)276
12.0%
Decimal Number
ValueCountFrequency (%)
9116
18.0%
294
14.6%
186
13.4%
360
9.3%
059
9.2%
857
8.9%
446
 
7.1%
644
 
6.8%
741
 
6.4%
541
 
6.4%
Other Punctuation
ValueCountFrequency (%)
/368
57.1%
.184
28.6%
:92
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2300
64.1%
Common1288
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/368
28.6%
.184
14.3%
9116
 
9.0%
294
 
7.3%
:92
 
7.1%
186
 
6.7%
360
 
4.7%
059
 
4.6%
857
 
4.4%
446
 
3.6%
Other values (3)126
 
9.8%
Latin
ValueCountFrequency (%)
p276
12.0%
s276
12.0%
e276
12.0%
t276
12.0%
o184
8.0%
a184
8.0%
i184
8.0%
m184
8.0%
h92
 
4.0%
d92
 
4.0%
Other values (3)276
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/368
 
10.3%
p276
 
7.7%
s276
 
7.7%
e276
 
7.7%
t276
 
7.7%
o184
 
5.1%
a184
 
5.1%
i184
 
5.1%
.184
 
5.1%
m184
 
5.1%
Other values (16)1196
33.3%

Interactions

2022-05-09T21:19:05.909889image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:45.640793image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:50.474500image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:52.573806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:54.670811image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:56.601891image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:00.147015image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:01.824054image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:03.783104image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:06.714962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:46.851403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:51.305910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:53.506083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:55.461308image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:57.663208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:00.818924image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:02.605142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:04.571781image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:06.816202image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:47.251524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:51.421663image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:53.612751image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:55.566058image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:57.947766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:01.024071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:02.709741image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:04.805339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:06.916904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:47.664285image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:51.534497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:53.713055image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:55.659914image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:58.235039image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:01.139056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:02.808747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:04.911406image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:07.030814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:48.045824image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:51.636475image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:53.804715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:55.749586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:58.494874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:01.235906image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:02.916503image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:05.014570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:07.523476image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:48.814941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:52.178868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:54.288942image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:56.188430image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:59.158716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:01.431955image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:03.372284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:05.505214image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:07.622715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:49.248882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:52.280423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:54.389403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:56.295010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:59.329316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:01.538328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:03.482614image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:05.615085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:07.723063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:49.672798image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:52.382710image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:54.490528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:56.393716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:59.598260image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:01.633610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:03.596008image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:05.709479image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:07.807894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:50.074314image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:52.479437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:54.579554image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:56.500200image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:18:59.846750image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:01.732251image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:03.688573image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:19:05.803264image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-09T21:19:14.585888image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T21:19:14.730898image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T21:19:14.889521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T21:19:15.067553image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-09T21:19:15.421391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-09T21:19:08.005223image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-09T21:19:08.837545image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-09T21:19:09.052208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-09T21:19:09.175912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
02007750https://www.tvmaze.com/episodes/2007750/stand-up-autsajd-1x10-filipp-voronin-499-iz-5Филипп Воронин "4,99 из 5"1.010.0regular2020-12-2212:002020-12-22T00:00:00+00:0029.0Nonenan51065https://www.tvmaze.com/shows/51065/stand-up-autsajdStand Up АутсайдVarietyRussian[]Ended40.028.02020-10-132020-12-31https://premier.one/show/137343.0nan<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>1.616719e+09https://api.tvmaze.com/episodes/1977902
12008030https://www.tvmaze.com/episodes/2008030/lab-s-antonom-belaevym-2x09-gruppa-skryptoniteGruppa Skryptonite2.09.0regular2020-12-22nan2020-12-22T00:00:00+00:0032.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737209.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737209.jpg'}nan52933https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevymLAB с Антоном БеляевымDocumentaryRussian['Music']Running26.025.02019-12-17nanhttps://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c32615.0nan<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>1.641808e+09https://api.tvmaze.com/episodes/2015818
21964568https://www.tvmaze.com/episodes/1964568/core-sense-1x12-episode-12Episode 121.012.0regular2020-12-2210:002020-12-22T02:00:00+00:0024.0Nonenan51336https://www.tvmaze.com/shows/51336/core-senseCore SenseAnimationChinese['Action', 'Anime', 'Science-Fiction']Running24.024.02020-10-13nanhttps://www.bilibili.com/bangumi/media/md2822306437.0nan<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>1.604587e+09https://api.tvmaze.com/episodes/1964000
32052511https://www.tvmaze.com/episodes/2052511/wu-shen-zhu-zai-1x86-episode-86Episode 861.086.0regular2020-12-2210:002020-12-22T02:00:00+00:008.0Nonenan54033https://www.tvmaze.com/shows/54033/wu-shen-zhu-zaiWu Shen Zhu ZaiAnimationChinese['Action', 'Adventure', 'Anime', 'Fantasy']Running8.08.02020-03-08nanhttps://v.qq.com/detail/m/7q544xyrava3vxf.html76.0nan<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>1.649423e+09https://api.tvmaze.com/episodes/1995405
41993656https://www.tvmaze.com/episodes/1993656/7-days-of-romance-2x01-episode-1Episode 12.01.0regular2020-12-22nan2020-12-22T03:00:00+00:0015.0Nonenan44276https://www.tvmaze.com/shows/44276/7-days-of-romance7 Days of RomanceScriptedKorean['Drama', 'Romance']EndedNaN15.02019-10-082021-01-20nan82.0nan<p>Da Eun works part-time and Kim Byul is an idol in her 5th years since debut. These two girls who look alike decide to change each other's lives just for 7 days. It tells the romantic encounters of these 2 girls.</p>1.650034e+09https://api.tvmaze.com/episodes/2007760
52096299https://www.tvmaze.com/episodes/2096299/no-turning-back-romance-1x05-551.05.0regular2020-12-22nan2020-12-22T03:00:00+00:0012.0Nonenan55002https://www.tvmaze.com/shows/55002/no-turning-back-romanceNo Turning Back RomanceScriptedKorean[]EndedNaN12.02020-12-082021-01-06nan20.0nan<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>1.621617e+09https://api.tvmaze.com/episodes/1985789
62315117https://www.tvmaze.com/episodes/2315117/sono-koi-mousukoshi-atatamemasuka-1x06-episode-6Episode 61.06.0regular2020-12-22nan2020-12-22T03:00:00+00:0015.0Nonenan61674https://www.tvmaze.com/shows/61674/sono-koi-mousukoshi-atatamemasukaSono koi Mousukoshi AtatamemasukaScriptedJapanese['Romance']Ended15.015.02020-10-202020-12-22https://www.paravi.jp/static/koisuko6.0nan<p>It's spin-off drama of <b>"Kono Koi Atatamemasu ka"</b></p>1.650915e+09https://api.tvmaze.com/episodes/2039622
72068349https://www.tvmaze.com/episodes/2068349/doomsday-awakening-2x01-episode-1Episode 12.01.0regular2020-12-22nan2020-12-22T04:00:00+00:0015.0Nonenan48673https://www.tvmaze.com/shows/48673/doomsday-awakeningDoomsday AwakeningAnimationChinese['Action', 'Anime', 'Science-Fiction', 'War']Running15.015.02018-05-24nanhttps://v.qq.com/detail/j/jaqpncskrgv28oo.html56.0nannan1.618077e+09https://api.tvmaze.com/episodes/2039623
82068351https://www.tvmaze.com/episodes/2068351/doomsday-awakening-2x02-episode-2Episode 22.02.0regular2020-12-22nan2020-12-22T04:00:00+00:0015.0Nonenan48673https://www.tvmaze.com/shows/48673/doomsday-awakeningDoomsday AwakeningAnimationChinese['Action', 'Anime', 'Science-Fiction', 'War']Running15.015.02018-05-24nanhttps://v.qq.com/detail/j/jaqpncskrgv28oo.html56.0nannan1.618077e+09https://api.tvmaze.com/episodes/2324427
92005750https://www.tvmaze.com/episodes/2005750/legend-of-yun-qian-1x03-episode-3Episode 31.03.0regular2020-12-22nan2020-12-22T04:00:00+00:004.0Nonenan52898https://www.tvmaze.com/shows/52898/legend-of-yun-qianLegend of Yun QianScriptedChinese['Drama', 'Romance', 'History']Ended4.04.02020-12-212020-12-31nan67.0nan<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>1.649956e+09https://api.tvmaze.com/episodes/2324428

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
821983791https://www.tvmaze.com/episodes/1983791/you-never-eat-alone-1x01-episode-1Episode 11.01.0regular2020-12-2222:002020-12-22T15:00:00+00:0045.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724584.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724584.jpg'}<p>Diew's family moves to America, leaving him to make the transition to his college dorm all on his own where he meets some unique friends.  </p>52327https://www.tvmaze.com/shows/52327/you-never-eat-aloneYou Never Eat AloneScriptedThai['Drama', 'Comedy', 'Food']Ended45.045.02020-12-222021-03-09https://aisplay.ais.co.th/62.0nan<p>When hunger and loneliness are the same as home. Because eating alone, it's a big deal. The operation to find someone to eat also began...</p>1.619472e+09https://api.tvmaze.com/episodes/1996689
832311020https://www.tvmaze.com/episodes/2311020/toki-wo-kakeru-bando-1x10-band-that-takes-timeBand that takes time1.010.0regular2020-12-2200:252020-12-22T15:25:00+00:0027.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/403/1009868.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/403/1009868.jpg'}<p>'Ryo', who broke up with 'Chahan', 'Yuki Ehana,' 'Shiori Kato,' and 'Hitoko Murakami,' visits the ramen shop 'Satsumakko' for the first time in a while. So he hears from 'Murakami Tadashi' and 'Murakami Yoshie' that 'Chahhan' is out of order recently.<br />Ryo heads to the lesson studio for 'Chahhan'. Three people are surprised at the sudden visit of Ryo. Ryo enthusiastically scolds Yuki, Shiori, and Hitoko. Yuki is touched by Ryo's thoughts, and Shiori and Hitoko. Yuki goes to see the boy Ryo and she promises that she will definitely show success with 'pray'.<br />Three people who are making good progress toward their debut. Meanwhile, the color of the sky is changing more and more. The day when Ryo returns to the future is steadily approaching. 'Chahhan' invites Ryo to a one-man live.</p>61530https://www.tvmaze.com/shows/61530/toki-wo-kakeru-bandoToki wo Kakeru BandoScriptedJapanese['Comedy', 'Music', 'Science-Fiction']Ended27.026.02020-10-202020-12-22https://www.fujitv.co.jp/tokikake/0.0{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}<p>A story about Ryo, a mysterious and self-proclaimed music producer from the future, producing a girl band of three girls and leading them to stardom. A comical and tempo conversational drama, and various trials to produce the youth of young people who play music with comedy touch.</p>1.649705e+09https://api.tvmaze.com/episodes/1950703
842015888https://www.tvmaze.com/episodes/2015888/edgar-1x05-quelques-pixels-en-moinsQuelques pixels en moins1.05.0regular2020-12-22nan2020-12-22T16:00:00+00:0039.0None<p>Winnipeg Police find a victim who died in a stupid accident with no sign of violence.</p>53114https://www.tvmaze.com/shows/53114/edgarEdgarScriptedFrench['Comedy', 'Crime', 'Mystery']RunningNaN42.02020-08-05nanhttps://www.crave.ca/en/tv-shows/edgar28.0nan<p>Although Edgar Aquin can go unnoticed by his appearance, he is a formidable investigator, with an extraordinary sense of observation. With his unconventional methods, sharp instincts and unique logic, he will succeed in proving the guilt of the suspects every time!</p>1.611613e+09https://api.tvmaze.com/episodes/2050241
852015889https://www.tvmaze.com/episodes/2015889/edgar-1x06-dernier-roundDernier round1.06.0regular2020-12-22nan2020-12-22T16:00:00+00:0041.0None<p>Ryan uses Maisie to make illegal bets. She changes her plans and a few days later Ryan is found dead.</p>53114https://www.tvmaze.com/shows/53114/edgarEdgarScriptedFrench['Comedy', 'Crime', 'Mystery']RunningNaN42.02020-08-05nanhttps://www.crave.ca/en/tv-shows/edgar28.0nan<p>Although Edgar Aquin can go unnoticed by his appearance, he is a formidable investigator, with an extraordinary sense of observation. With his unconventional methods, sharp instincts and unique logic, he will succeed in proving the guilt of the suspects every time!</p>1.611613e+09https://api.tvmaze.com/episodes/1970536
862015890https://www.tvmaze.com/episodes/2015890/edgar-1x07-vos-paupieres-sont-lourdesVos paupières sont lourdes1.07.0regular2020-12-22nan2020-12-22T16:00:00+00:0044.0None<p>The suspects swear they have no memory of the crime committed. Edgar will find their only point in common: Zéphir, the hypnotist.</p>53114https://www.tvmaze.com/shows/53114/edgarEdgarScriptedFrench['Comedy', 'Crime', 'Mystery']RunningNaN42.02020-08-05nanhttps://www.crave.ca/en/tv-shows/edgar28.0nan<p>Although Edgar Aquin can go unnoticed by his appearance, he is a formidable investigator, with an extraordinary sense of observation. With his unconventional methods, sharp instincts and unique logic, he will succeed in proving the guilt of the suspects every time!</p>1.611613e+09https://api.tvmaze.com/episodes/2005420
872015891https://www.tvmaze.com/episodes/2015891/edgar-1x08-coup-de-theatreCoup de théâtre1.08.0regular2020-12-22nan2020-12-22T16:00:00+00:0043.0None<p>Gnawed by jealousy, the actress Béatrice Rose develops a masterful plan that will sign the last act of her rival, Marie Sainclair.</p>53114https://www.tvmaze.com/shows/53114/edgarEdgarScriptedFrench['Comedy', 'Crime', 'Mystery']RunningNaN42.02020-08-05nanhttps://www.crave.ca/en/tv-shows/edgar28.0nan<p>Although Edgar Aquin can go unnoticed by his appearance, he is a formidable investigator, with an extraordinary sense of observation. With his unconventional methods, sharp instincts and unique logic, he will succeed in proving the guilt of the suspects every time!</p>1.611613e+09https://api.tvmaze.com/episodes/1985483
882165008https://www.tvmaze.com/episodes/2165008/all-about-android-2020-12-22-best-of-2020Best of 20202020.051.0regular2020-12-22nan2020-12-22T17:00:00+00:0090.0Nonenan17633https://www.tvmaze.com/shows/17633/all-about-androidAll About AndroidNewsEnglish[]Running90.090.02011-03-29nanhttps://twit.tv/shows/all-about-android30.0nan<p><b>All About Android </b>delivers everything you want to know about Android each week -- the biggest news, freshest hardware, best apps and geekiest how-to's -- with Android enthusiasts Jason Howell, Florence Ion, Ron Richards, and a variety of special guests along the way.</p>1.650312e+09https://api.tvmaze.com/episodes/1985484
891968003https://www.tvmaze.com/episodes/1968003/a-teacher-1x09-episode-9Episode 91.09.0regular2020-12-22nan2020-12-22T17:00:00+00:0030.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724613.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724613.jpg'}<p>Claire and Eric separately hit their breaking points.</p>38339https://www.tvmaze.com/shows/38339/a-teacherA TeacherScriptedEnglish['Drama']EndedNaN27.02020-11-102020-12-29https://www.hulu.com/series/a-teacher-1c871218-05b1-4c66-a22f-260b2cb9bbf991.0nan<p><b>A Teacher</b> examines the complexities and consequences of an illegal relationship between a female teacher, Claire and her male high school student, Eric. Dissatisfied in their own lives, Claire and Eric discover an undeniable escape in each other, but their relationship accelerates faster than anticipated and the permanent damage becomes impossible to ignore.</p>1.637345e+09https://api.tvmaze.com/episodes/1988405
901991991https://www.tvmaze.com/episodes/1991991/reverse-engineering-2020-12-22-recreating-marcus-samuelssons-swedish-meatballs-from-tasteRecreating Marcus Samuelsson's Swedish Meatballs From Taste2020.05.0regular2020-12-22nan2020-12-22T17:00:00+00:0024.0Nonenan45512https://www.tvmaze.com/shows/45512/reverse-engineeringReverse EngineeringRealityEnglish['Food']Running30.028.02019-05-28nanhttps://video.bonappetit.com/series/reverse-engineering30.0nan<p>One dish. Two days. A challenge for super taster Chris Morocco to blindly taste a dish made by a famous chef and then reverse engineer it as closely to the original as he can.</p>1.651159e+09https://api.tvmaze.com/episodes/1997537
911977417https://www.tvmaze.com/episodes/1977417/goede-tijden-slechte-tijden-31x66-aflevering-6321Aflevering 632131.066.0regular2020-12-2220:002020-12-22T19:00:00+00:0023.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723174.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723174.jpg'}nan2504https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijdenGoede Tijden, Slechte TijdenScriptedDutch['Drama', 'Romance']Running23.025.01990-10-01nanhttp://gtst.nl/#!/77.0nannan1.651839e+09https://api.tvmaze.com/episodes/1997538